Triple

T13530658
Position Surface form Disambiguated ID Type / Status
Subject Waalkade E323122 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Valkhof area E323134 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Valkhof area | Statement: [Waalkade, hasNearbyAttraction, Valkhof area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valkhof area
Context triple: [Waalkade, hasNearbyAttraction, Valkhof area]
  • A. Valkhof chosen
    Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
  • B. Swinemünde area
    The Swinemünde area is a coastal region on the Baltic Sea near the modern town of Świnoujście, historically significant as a German naval and port zone during World War II.
  • C. Osternienburg area
    The Osternienburg area is a locality and former municipality within the district of Anhalt-Bitterfeld in the German state of Saxony-Anhalt.
  • D. Neumagen-Dhron area
    The Neumagen-Dhron area is a wine-growing region and archaeological site in Germany’s Moselle Valley, known for its Roman heritage and viticulture.
  • E. Wendenstöcke area
    The Wendenstöcke area is a high-alpine mountain region in the central Swiss Alps known for its steep limestone peaks and popular climbing routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafba2c308190873efd15dfe26358 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549fc5f881908691eb62c1f5a5d5 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.